Numerous Artificial Intelligence (AI) techniques, such as traditional machine learning methods and deep learning approaches, have been used for fault recognition and diagnosis in roller ball bearings or rotating parts of machinery. Lei et al. [1]} reviewed systematically the development of Intelligent Fault Diagnosis (IFD) since the adoption of machine learning approaches, presenting the past, present, and future Artificial Intelligent approaches. Schwendemann et al. [2]} surveyed machine learning in predictive maintenance and condition monitoring of bearings and studied different approaches to classify bearing faults and the severity detection.
